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Moscow, Russia

Buryak Yu.I.,FGUP GosNIIAS
Automation and Remote Control | Year: 2010

The integrated task of ensuring safety of industrial products delivery at various levels from the physical parameters inspection during products transportation from suppliers to users up to limited access to the information about products, suppliers, and users is analyzed. The architecture of an information system for continuous lifecycle monitoring with a case study of aircraft components is proposed. The following featured properties of the considered system are shown: unified product description, using diverse machine-treatable information media and toolkits for its recording both in manual and automatic modes. Composition and functionality of the system software and some hardware components are outlined. © 2010 Pleiades Publishing, Ltd.

Sidyakin S.V.,FGUP GosNIIAS | Vizilter Y.V.,FGUP GosNIIAS
Computer Optics | Year: 2014

In this paper, we proposed algorithms for constructing continuous skeletons with elliptical structuring element (SE). The transformation between disk and elliptical skeletons is described. Computationally efficient discrete-continuous approach for the construction of morphological descriptors (spectra and maps) with fixed elliptical SE is proposed based on elliptical skeletons. The definitions of morphological elliptical maps, size spectra, directions spectra, elongation spectra with arbitrary elliptical structuring element is proposed. Definitions of two-dimensional spectra with various combinations of size and shape factors is given. Proposed morphological descriptors can be used directly for shape comparison or for shape segmentation into simple geometric parts of specified thickness, direction and elongation. © 2014, Institution of Russian Academy of Sciences. All rights reserved.

Vizilter Y.V.,FGUP GosNIIAS | Sidyakin S.V.,FGUP GosNIIAS
Computer Optics | Year: 2015

A generic formalism of parametric spectra is proposed for describing all spectra of this type from a common viewpoint. The parametric spectrum represents the density of distribution of some pattern/image measure (numerical characteristic) over the parameter under analysis. The measure depends monotonically on the analyzed parameter. The classification of parametric spectra is made. The most general case of parametric spectra are the spectra of the measurement accuracy as a function of the resolution parameter. They include as special cases: spectra based on descriptors, spectra based on filtering, partial order spectra, spectra based on monotone filtering operators, spectra based on enclosed projectors and distance, spectra based on normalized linear spaces. A subclass of morphological spectra that represent reconstruction accuracy spectra by the description complexity parameter is considered. The connection between the parametrical spectra and relevant parametrical decompositions is shown. © 2015, Institution of Russian Academy of Sciences. All rights reserved.

Rubis A.Y.,FGUP GosNIIAS | Alekseevich L.M.,FGUP GosNIIAS | Vizilter Y.V.,FGUP GosNIIAS | Vygolov O.V.,FGUP GosNIIAS
Computer Optics | Year: 2016

In this paper a technique of morphological comparative filtering based on image guided contrasting is proposed. Also, a technique of image background normalization based on guided contrasting via an image pyramid and the corresponding сhange detection algorithm is presented. The approach is tested on a public change detection benchmark dataset. © 2016, Institution of Russian Academy of Sciences. All rights reserved.

Vizilter Y.V.,FGUP GosNIIAS | Gorbatsevich V.S.,FGUP GosNIIAS | Rubis A.Y.,FGUP GosNIIAS | Vygolov O.V.,FGUP GosNIIAS
Computer Optics | Year: 2015

Shape-based matching techniques should provide the matching of scene image fragments registered in various lighting, weather and season conditions or in different spectral bands. The most popular shape-to-shape matching technique is based on a mutual information approach. Another well-known approach is a morphological image-to-shape matching proposed by Pytiev. In this pa per we propose a new image-to-shape matching technique based on heat kernels and diffusion maps. The corresponding Diffusion Morphology is proposed as a new generalization of Pytiev morphological scheme. The fast implementation of morphological diffusion filtering is described. An experimental comparison of the newly proposed and aforementioned image-to-shape and shape-to-shape matching techniques as applied to the TV and IR image matching problem is made. © 2015, Computer Optics. All Rights Reserved.

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